What Are Common SQL Interview Questions for a Business Analyst Role?

Your Guide to Nailing the Swiggy Business Analyst Interview: SQL Questions and Answers

Share Job with Your Friend

Your Guide to Nailing the Swiggy Business Analyst Interview: SQL Questions and Answers

Article Image

Preparing for a Swiggy Business Analyst interview involves understanding specific SQL queries crucial for the role. Here’s a breakdown of the types of SQL queries you might encounter:

  1. Year-over-Year Growth Rate Query:
    • Purpose: Calculates the growth rate of the amount spent by each customer [1].
    • Example: SELECT customer_id, (SUM(current_year_sales) - SUM(previous_year_sales)) / SUM(previous_year_sales) * 100 AS growth_rate FROM sales GROUP BY customer_id;
  2. Consecutive Days of Stock Quantity Query:
    • Challenge: Identifies days when stock went below a threshold for more than two consecutive days [2].
    • Example: SELECT stock_date FROM stock WHERE stock_quantity < threshold GROUP BY stock_date HAVING COUNT(consecutive_days) > 2;
  3. Employee Sales Rank Query:
    • Objective: Ranks employees based on their sales performance within each store [1].
    • Example: SELECT employee_id, RANK() OVER (PARTITION BY store_id ORDER BY sales_amount DESC) AS sales_rank FROM sales;

Understanding these queries and practicing similar SQL problems can significantly enhance your preparation. Swiggy’s Data Analyst position demands proficiency in SQL, Python, and a solid foundation in case studies and statistics, offering a competitive salary of 12 to 18 LPA [3]. The interview process comprises five rounds, focusing on key metrics such as gross merchandise value (GMV) and customer satisfaction score (CSAT) among others [3].

FAQs

What Are Common SQL Interview Questions for a Business Analyst Role?

SQL interview questions for business analysts often begin with understanding what SQL is and its importance for data professionals. SQL, or Structured Query Language, is a critical tool for managing, analyzing, and manipulating data within relational databases. It plays a vital role in data retrieval, transformation, analysis, modeling, integration, and reporting tasks.

How Can You Excel in an SQL Interview?

Excelling in an SQL interview requires thorough preparation and clarity of thought. Ensure you fully understand the task and the data you’re working with by asking detailed questions. This understanding will help you avoid unnecessary iterations and effectively manage edge cases, setting you up for success.

What Strategies Can Help You Succeed in an Analyst Interview?

To succeed in an analyst interview, it’s crucial to control the flow of the conversation. Take a moment to think before responding to each question, actively listen to all interviewers, and jot down useful information. Don’t hesitate to ask for clarifications if needed, and focus on delivering thoughtful, well-paced answers.

What Is a Six-Step Strategy to Pass a SQL Technical Interview?

Passing a SQL technical interview can be approached with a strategic six-step plan:

  1. Clarify the question to ensure you’ve understood the task correctly.
  2. Engage with the data by probing further with questions.
  3. Determine which columns are necessary to address the problem.
  4. Visualize what the solution should look like.
  5. Approach coding in a step-by-step manner to build towards the solution.

Share Job with Your Friend

Leave a Comment

Your email address will not be published. Required fields are marked *

Scroll to Top